Christopher Groskopf
Discovery And Delivery Technical Lead at California Digital Library
Oakland, California, United States
Summary
🤩
Rockstar🎓
Top SchoolChristopher Groskopf is a strategic technology leader with 18 years of experience building and scaling cross-functional product, design, and engineering teams to deliver data-driven, user-focused web products. He has led organizations of 40+ staff through rapid growth and transformation—from modernizing legacy CDC systems with containerization and Azure to shipping FiveThirtyEight’s real-time interactive forecasts and visualizations. Equally comfortable in hands-on engineering and senior strategy, he’s contributed to open-source projects like openstates scrapers and csvkit while architecting AWS-hosted ETL platforms and CI/CD pipelines. Known for calm, compassionate leadership during high-stakes work, he pairs human-centered design and rigorous data storytelling to boost engagement and accessibility. Based in Oakland, he combines a data-journalism sensibility with production-grade engineering to translate complex models into widely used public tools.
18 years of coding experience
8 years of employment as a software developer
Bachelor of Arts - BA Philosophy, Bachelor of Arts - BA Philosophy at University of Nebraska-Lincoln
Github Skills (41)
e-government10
javascript10
type-inference10
data-conversion10
boto10
jquery10
python10
loadtest10
css10
scraper10
responsive-design10
iframe10
aws10
html-parsing10
data-processing10
Programming languages (7)
Github contributions (5)
wireservice/csvkit
Mar 2011 - Dec 2016
A suite of utilities for converting to and working with CSV, the king of tabular file formats.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:653 commits, 14 PRs, 71 pushes in 5 years 10 months
Contributions summary:Christopher focused on improving the handling of data types within the XLS conversion functionality of the csvkit library. Their contributions included the implementation of more robust type inference for Excel files, allowing for better conversions to CSV format. This work involved modifying the code to handle a wider range of data types and edge cases, such as dates, times, and null values, as well as addressing serialization issues. The user also worked on refactoring the conversion functions to allow for easier maintenance and testing.
csvcsv-readerfile-formatscsv-importconverting
nprapps/app-template
Nov 2012 - Apr 2015
The NPR visuals team's opinionated project template for client-side apps.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:632 commits, 16 pushes, 1 branch in 2 years 5 months
Contributions summary:Christopher primarily worked on front-end development, including the implementation of HTML and CSS elements and JavaScript templates. They also worked on configuring server settings for the application. They further implemented the setup of analytics components and created example pages within the application. These contributions suggest a focus on building out the user interface and the application's core structure.
nprreactclient-sidejavascripttypescript
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